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This investigation explores the potential efficacy of machine learning algorithms (MLAs), particularly convolutional neural networks (CNNs), in distinguishing between benign and malignant breast cancer tissue through the analysis of 1000 breast cancer images gathered from Kaggle.com, a domain of publicly accessible data. The dataset was meticulously partitioned into training, validation, and testing sets to facilitate model development and evaluation. Our results reveal promising outcomes, with the developed model achieving notable precision (92%), recall (92%), accuracy (92%), sensitivity (89%), specificity (96%), an F1 score of 0.92, and an area under the curve (AUC) of 0.944. These metrics underscore the model's ability to accurately identify malignant breast cancer images. Because of limitations such as sample size and potential variations in image quality, further research, data collection, and integration of theoretical models in a real-world clinical setting are needed to expand the reliability and generalizability of these MLAs. Nonetheless, this study serves to highlight the potential use of artificial intelligence models as supporting tools for physicians to utilize in breast cancer detection.
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This review provides an in-depth analysis of the effect of length of stay (LOS), comorbidities, and procedural complications on the cost-effectiveness of transcatheter aortic valve replacement (TAVR) in comparison to surgical aortic valve replacement (SAVR). We found that the average LOS was shorter for patients undergoing TAVR, contributing to lower average costs associated with the procedure, although the LOS varied between patients due to the severity of illness and comorbidities present. TAVR has also been found to improve the quality of life for patients receiving aortic valve replacement compared to SAVR. Although TAVR has a lower rate of most post-operative complications caused by SAVR, such as bleeding and cardiac complications, TAVR shows an increased rate of permanent pacemaker (PPM) implantation due to mechanical trauma on the heart's conduction system. In addition, our findings suggest that the cost-effectiveness of each procedure varies based on the types of valve, the patient history of other medical conditions, and the procedural methods. Our findings show that TAVR is preferred over SAVR in terms of cost-effectiveness across a variety of patients with other coexisting medical conditions, including cancer, advanced kidney disease, cirrhosis, diabetes mellitus, and bundle branch block. TAVR also appears to be superior to SAVR with fewer post-operative complications. However, TAVR appears to have a higher rate of PPM implantation rates as compared to SAVR. The comorbidities of the valve recipient must be considered when deciding whether to use TAVR or SAVR as cost-effectiveness varies with the patient background.
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This comprehensive literature review addresses the scarcity and limited study of hypotension treatments compared to abundant antihypertensive drugs. Hypotension, categorized as absolute, relative, or orthostatic, has diverse causes. This review explores various treatments, including drugs affecting the sympathetic nervous system, such as midodrine, dihydroergotamine, and ergotamine, which have shown efficacy in managing hypotension. Dopamine agonists/antagonists and other drugs such as ephedrine, norepinephrine, and fludrocortisone are also discussed, each with distinct mechanisms and applications. Additionally, adjunctive agents such as non-steroidal anti-inflammatory agents, caffeine, and monoamine oxidase inhibitors are reviewed for their effects on blood pressure. This review underscores the importance of understanding the efficacy and safety profiles of hypotension treatments to guide healthcare professionals in optimal drug selection and management, emphasizing the need for further research and comparative studies for evidence-based guidelines.
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BACKGROUND AND AIM: The study aims to investigate the efficacy and safety of hepatic arterial infusion chemotherapy (HAIC) combined with lenvatinib and immune checkpoint inhibitors (ICIs) versus lenvatinib and ICIs for hepatocellular carcinoma (HCC) with transarterial chemoembolization (TACE) refractoriness. METHODS: Patients with intermediate or advanced TACE-refractory HCC who received lenvatinib and ICIs with or without HAIC between 2020 and 2022 were retrospectively reviewed. The tumor response, overall survival (OS), progression-free survival (PFS), and treatment-related adverse events (TRAEs) were evaluated and compared between the two groups. Factors affecting OS and PFS were identified with univariate and multivariate Cox regression analyses. RESULTS: A total of 121 patients were enrolled, with 58 patients assigned to the HAIC-Len-ICI group and 63 patients assigned to the Len-ICI group. A higher objective response rate and disease control rate were found in the HAIC-Len-ICI group than in the Len-ICI group (48.30% vs 23.80%, P = 0.005; 87.90% vs 69.80%, P = 0.02, respectively). The median OS was 24.0 months in the HAIC-Len-ICI group and 13.0 months in the Len-ICI group (P = 0.001). The median PFS was 13.0 months in the HAIC-Len-ICI group and 7.2 months in the Len-ICI group (P < 0.001). Multivariable analyses suggested that the presence of cirrhosis, Child-Pugh B stage, and HAIC-Len-ICI therapy option were prognostic factors for OS and PFS. The incidences of any grade and grade 3/4 TRAEs were both comparable between the two groups. CONCLUSIONS: HAIC combined with lenvatinib and ICIs yielded better OS, PFS, ORR, and DCR than lenvatinib-ICI therapy in patients with HCC refractory to TACE, with manageable adverse events.
Subject(s)
Carcinoma, Hepatocellular , Chemoembolization, Therapeutic , Liver Neoplasms , Phenylurea Compounds , Quinolines , Humans , Carcinoma, Hepatocellular/drug therapy , Liver Neoplasms/drug therapy , Immune Checkpoint Inhibitors/adverse effects , Retrospective Studies , Chemoembolization, Therapeutic/adverse effectsABSTRACT
The cost of transcatheter aortic valve replacement (TAVR) has been studied in the context of high-risk or specific comorbidity populations; this paper provides a comprehensive overview of broader patient populations' outcomes and costs with TAVR in comparison to surgical aortic valve replacement (SAVR). In the past, SAVR had been the more cost-effective option than TAVR, but in recent years, TAVR has been becoming more cost-effective.Though the cost of TAVR can vary due to several factors the major focus of this review will focus on the surgical technique, medicare reimbursements, insertion point, and varying risk populations. In conclusion, the price of TAVR is declining as more cost-efficient valves arrive on the market. Climbing healthcare costs play a significant role in clinical decisions when deciding on which procedures are most cost-effective for the patient and healthcare system. The declining price of TAVR could lead to the preference of TAVR over SAVR for both low-risk and high-risk aortic stenosis patients.
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Accurate delineation of plant cell organelles from electron microscope images is essential for understanding subcellular behaviour and function. Here we develop a deep-learning pipeline, called the organelle segmentation network (OrgSegNet), for pixel-wise segmentation to identify chloroplasts, mitochondria, nuclei and vacuoles. OrgSegNet was evaluated on a large manually annotated dataset collected from 19 plant species and achieved state-of-the-art segmentation performance. We defined three digital traits (shape complexity, electron density and cross-sectional area) to track the quantitative features of individual organelles in 2D images and released an open-source web tool called Plantorganelle Hunter for quantitatively profiling subcellular morphology. In addition, the automatic segmentation method was successfully applied to a serial-sectioning scanning microscope technique to create a 3D cell model that offers unique views of the morphology and distribution of these organelles. The functionalities of Plantorganelle Hunter can be easily operated, which will increase efficiency and productivity for the plant science community, and enhance understanding of subcellular biology.
Subject(s)
Deep Learning , Microscopy, Electron , Cell Nucleus , Mitochondria , ChloroplastsABSTRACT
BACKGROUND: Pumpkin seeds are major oil crops with high nutritional value and high oil content. The collection and identification of different pumpkin germplasm resources play a significant role in the realization of precision breeding and variety improvement. In this research, we collected 75 species of pumpkin from the Zhejiang Province of China. 35,927 near-infrared hyperspectral images of 75 types of pumpkin seeds were used as the research object. RESULTS: To realize the rapid classification of pumpkin seed varieties, position attention embedded three-dimensional convolutional neural network (PA-3DCNN) was designed based on hyperspectral image technology. The experimental results showed that PA-3DCNN had the best classification effect than other classical machine learning technology. The classification accuracy of 99.14% and 95.20% were severally reached on the training and test sets. We also demonstrated that the PA-3DCNN model performed well in next year's classification with fine-tuning and met with 94.8% accuracy. CONCLUSIONS: The model performance improved by introducing double convolution and pooling structure and position attention module. Meanwhile, the generalization performance of the model was verified, which can be adopted for the classification of pumpkin seeds in multiple years. This study provided a new strategy and a feasible technical approach for identifying germplasm resources of pumpkin seeds.
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OBJECTIVE: To understand developers' perception of patient (versions of) guidelines (PVGs), and identify challenges during the PVG development, with the aim to inform methodological guidance for future PVG development. METHODS: We used a descriptive qualitative design. Semi-structured interviews were conducted virtually from December 2021 to April 2022, with a purposive sampling of 12 PVG developers from nine teams in China. Conventional and directed content analysis was used for data analysis. RESULTS: The interviews identified PVG developers' understanding of PVGs, their current practice experience, and the challenges of developing PVGs. Participants believed PVGs were a type of health education material for patients; therefore, it should be based on patient needs and be understandable and accessible. Participants suggested that PVGs could be translated/adapted from one or several clinical practice guidelines (CPG), or developed de novo (i.e., the creation of an entirely new PVG with its own set of research questions that are independent of existing CPGs). Participants perceived those existing methodological guidelines for PVG development might not provide clear instructions for PVGs developed from multiple CPGs and from de novo development. Challenges to PVG development include (1) a lack of standardized and native guidance on developing PVGs; (2) a lack of standardized guidance on patient engagement; (3) other challenges: no publicly known and trusted platform that could disseminate PVGs; concerns about the conflicting interests with health professionals. CONCLUSIONS AND PRACTICE IMPLICATIONS: Our study suggests clarifying the concept of PVG is the primary task to develop PVGs and carry out related research. There is a need to make PVG developers realize the roles of PVGs, especially in helping decision-making, to maximize the effect of PVG. It is necessary to develop native consensus-based guidance considering developers' perspectives regarding PVGs.
Subject(s)
Health Personnel , Research Design , Humans , Qualitative Research , Patients , ChinaABSTRACT
Parkinson's disease (PD) is a prevalent neurodegenerative disorder that occurs in old age due to a decrease in dopamine, which causes nerve cell destruction. This disease is difficult to diagnose since its symptoms are similar to those of the aging process. Those with PD have impaired motor control and function, dyskinesia, and tremors. To treat PD, drugs that enhance the amount of dopamine given to the brain are administered to alleviate symptoms. This inquiry examines the prescription of rotigotine to achieve this objective. The primary objective of this review is to examine the usage of rotigotine in both the late and early stages of PD. The statistical model utilized in the review found that there was not a significant difference in the dosage of rotigotine prescribed to late and early-stage PD patients, however, there were some confounding variables that may have skewed this result; therefore, further research is necessary to validate or nullify this hypothesis.
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The choice of crossover and mutation strategies plays a crucial role in the searchability, convergence efficiency and precision of genetic algorithms. In this paper, a novel improved genetic algorithm is proposed by improving the crossover and mutation operation of the simple genetic algorithm, and it is verified by 15 test functions. The qualitative results show that, compared with three other mainstream swarm intelligence optimization algorithms, the algorithm can not only improve the global search ability, convergence efficiency and precision, but also increase the success rate of convergence to the optimal value under the same experimental conditions. The quantitative results show that the algorithm performs superiorly in 13 of the 15 tested functions. The Wilcoxon rank-sum test was used for statistical evaluation, showing the significant advantage of the algorithm at 95% confidence intervals. Finally, the algorithm is applied to neural network adversarial attacks. The applied results show that the method does not need the structure and parameter information inside the neural network model, and it can obtain the adversarial samples with high confidence in a brief time just by the classification and confidence information output from the neural network.
Subject(s)
Algorithms , Neural Networks, Computer , Intelligence , Research Design , Statistics, NonparametricABSTRACT
The baseline-free damage detection method of Lamb waves has the potential to obtain damage information efficiently in plate structures through damage scattering signals. However, the missing detection of damage occurs occasionally due to the angular scattering characteristic of Lamb waves. To solve this problem, a novel baseline-free damage detection approach based on path scanning at the detection region edges using mobile piezoelectric transducers is proposed herein. Several sensing points carrying separated damage scattering signals were picked out from the scanning paths. By removing the direct and boundary reflected signals, the damage signals were extracted and exported to a delay-and-sum imaging method to locate the damage. Two experiments with and without mobile transducers were conducted to validate the proposed method on an aluminum plate with artificially fabricated crack-like damage. The results show that the proposed baseline-free approach can locate the crack-like damage with high accuracy and efficiency and avoid potential loss of damage information. The proposed baseline-free method provides a novel and practical damage detection approach when considering the angular-dependent scattering characteristic of Lamb waves and can enhance the credibility of results in damage detection.
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BACKGROUND: Herpes zoster (HZ) is a common infection in individuals with acquired immunodeficiency syndrome (AIDS) patients. Traditional Chinese medicine (TCM) has been used widely in clinical practice for HZ, which remains not supportive of evidence. This review aimed to evaluate the effectiveness and safety of TCM in treating HIV-associated HZ. METHODS: Nine electronic databases were searched for randomized controlled trials (RCTs) testing TCM in treating HIV-associated HZ. Data were extracted on citations, interventions, and outcomes, by two authors independently. For the quality evaluation, Cochrane risk-of-bias tool 2.0 was used. Meta-analyses were performed by Revman5.3 software. Effect estimation presented as risk ratio (RR) for dichotomous data and mean difference (MD) for continuous data with their 95% confidence interval (CI). RESULTS: Twelve RCTs (n = 644) were included; the majority of them had a high or unclear risk of bias. Meta-analysis showed that pain intensity (VAS 0-5) in the Chinese herbal medicine (CHM) group was lower than it in the drugs group (MD = -0.87, 95% CI [-1.69, -0.04], two trials, n = 93). Duration of herpes-related pain (days) of patients in the combination group was shorter than those in the drugs group (MD = -9.19, 95% CI [-16.73, -1.65], n = 144). The incidence of postherpetic neuralgia (PHN) in the combination group was lower than in the drugs group (RR = 0.49, 95% CI [0.25, 0.99], n = 202). As for cure rate (complete absence of pain and herpes), two trials showed that CHM was better than drugs (RR = 1.58, 95% CI [1.13, 2.22], n = 93), five trials showed combination treatment was better than drugs (RR = 1.40, 95% CI [1.08, 1.82], n = 224). The cure rate in the acupuncture group was more than that in the drugs group (RR = 1.99, 95% CI [1.18, 3.36], n = 120). Four trials reported adverse effects and found no serious adverse events occurred. CONCLUSION: CHM and acupuncture demonstrate more benefits than drugs in pain relief, cure rate improvement, and incidence reduction of PHN. However, given the data limitation and TCM therapies' diversity, the conclusions need to be verified in future trials.
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BACKGROUND: Myasthenia Gravis (MG) is a disorder of neuromuscular transmission bringing mild ocular weakness to severe generalized muscle weakness and disability. The conventional treatments have long-term side effects, and Chinese herbal medicines (CHM) have shown possible effect and safety for MG patients, but the existing evidence was not robust enough and the results were out of date. METHODS: Searching for randomized controlled trials (RCTs) was conducted in 7 databases and clinical trial registries until July 2021. The ROB 2 tool was used to assess the study quality and GRADE was used to assess the quality of whole evidence. Meta-analyses were conducted and the results were presented as risk ratio (RR) or mean difference (MD) with 95% confidence interval (CI). RESULTS: Nineteen RCTs (1283 participants) testing 13 kinds of CHM with adequate randomization were included and six RCTs investigating Compound Huangqi were included in the meta-analyses. In addition to conventional treatment, nine CHMs reduced symptom scores of MG. Compound Huangqi plus conventional treatment (pyridostigmine bromide or prednisone or both) reduced the symptom scores compared with conventional treatment (MDâ¯=â¯-3.56, 95%CI -4.86 to -2.26). Less adverse events happened in the CHM groups (3/247 in the CHM groups, 52/245 in the control groups, RRâ¯=â¯0.13, 95%CI 0.06 to 0.30, 9 RCTs, a total of 492 participants). The effect on quality of life was inconsistent. CONCLUSION: Nine CHMs could probably bring benefit for MG symptom improvement. Moderate to low certainty of evidence supported Compound Huangqi added-on conventional treatment probably bring extra benefit of improving MG symptoms. Adding CHMs could be safer than giving only conventional treatment. STUDY REGISTRATION: The protocol was registered in PROSPERO (ID: 32718).
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ETHNOPHARMACOLOGICAL RELEVANCE: Extract from Kushen (Sophora flavescens Aiton) and Baituling (Heterosmilax japonica Kunth), Compound Kushen Injection has a long history for cancer treatment in China. As a common adjunctive drug in chemotherapy of non-small cell lung cancer (NSCLC), the evidence of effectiveness and safety of Compound Kushen Injection needs to be synthesized. AIM OF THE STUDY: The objective of this overview is to synthesize recent evidence and assess the methodological quality of systematic reviews (SRs) of Compound Kushen Injection, in treating NSCLC as an adjunctive treatment of chemotherapy. MATERIALS AND METHODS: We searched PubMed, PubMed Central, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform and VIP China Science and Technology Journal Database from inception to April 22, 2020. We included SRs of the efficacy and safety of Compound Kushen Injection combined with chemotherapy in the treatment of NSCLC. Two authors assessed eligibility and extracted data. The quality of SRs was assessed using AMSTAR-2. A meta-analysis was conducted for the original trials where good homogeneity was present. Evidence maps using bubble plots illustrated overall results. The quality of the evidence was graded by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. RESULTS: Twelve SRs were included, with 91 randomized controlled trials and 7466 participants. Overall, the quality of the included SRs was low. Only six SRs reported specific chemotherapy regimens, three using vinorelbine combined with cisplatin (NP), one using paclitaxel combined with cisplatin (TP), one using gemcitabine combined with cisplatin (GP), and one discussed the three regimens in subgroups. Meta-analysis showed that CKI used as an adjuvant to chemotherapy was superior to chemotherapy alone in promoting tumor complete response rate, tumor partial response rate, Kamofsky score, and relieving some chemotherapy related side effects. Evidence mapping showed that Kushen Injection combined with NP and GP had better effect. The evidence quality of increasing Kamofsky score and decreasing the incidence of leukopenia were moderate, others were low or very low. CONCLUSIONS: There are some favorable effects in improving short-term effectiveness, quality of life and alleviating some side effects of chemotherapy in patients with NSCLC. Results are more promising when Compound Kushen injection is used as an adjunctive to NP and GP. Promising results are however, compromised by the poor quality overall of the clinical trials.
Subject(s)
Antineoplastic Agents/therapeutic use , Carcinoma, Non-Small-Cell Lung/drug therapy , Drugs, Chinese Herbal/therapeutic use , Lung Neoplasms/drug therapy , Antineoplastic Agents/administration & dosage , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Drugs, Chinese Herbal/administration & dosage , Humans , Systematic Reviews as TopicABSTRACT
Exercise is a critical factor that impacts arterial stiffness. In this narrative review, we noted multiple findings that could not be reconciled with one another. Some studies indicated that arterial stiffness increases after a regimen of resistance training. However, such studies were limited by a lack of specification of the resistance training protocols, as well as varying results reported from different areas of the body, undermining the internal validity of the studies. Another factor explored in this review was how the order of performing exercises can affect arterial stiffness. Low-intensity resistance training before high-intensity resistance training resulted in increased arterial stiffness, whereas vice versa showed no change in arterial stiffness. Other studies indicated that resistance exercise results in reduced arterial stiffness. Intensity is a variable in studies that produces inconsistent results of arterial stiffness, with some studies suggesting high-intensity resistance training increases arterial stiffness and low-intensity resistance training decreases arterial stiffness, while other studies pointing to a significant decrease in arterial stiffness, regardless of the intensity of resistance training. Demographic factors such as gender, age, and diet play an important role in explaining these differences. In terms of future implications, there is potential clinical significance as increased arterial stiffness serves as a prognostic marker in diagnosing coronary heart disease.
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BACKGROUND: Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy complication whose range has been calculated to be between 0.01 and 15.6% all around the world. We wanted to systematically evaluate the effect and safety of oral herbal medicine on treatment for ICP. METHODS: Details of the methods could be found in the registered protocol on PROSPERO (CRD42018096013). Trials assessing the effectiveness of herbal medicine for ICP were searched from seven electronic databases from inception to 28th February 2020. RevMan 5.3 software was used to perform all statistical analysis. Meta-analysis, additional analysis, Trial Sequential Analysis (TSA) and Grading of Recommendations Assessment, Development and Evaluation (GRADE) were conducted if data permitted. RESULTS: Totally 43 randomized controlled trials with 3556 patients were included. Meta-analysis showed potential good adjunctive effect of herbal medicine on decreasing the pruritus scores (MD -0.58, 95% CI - 0.79 to - 0.36), the serum TBA scores (MD - 3.99 µmol/L, 95% CI - 4.24 to - 3.74) on the basis with Ursodesoxycholic acid. Compared to the medicine alone, significantly lower incidence of fetal distress (RR 0.41, 95% CI 0.32 to 0.51), asphyxia neonatorum (RR 0.35, 95%CI 0.25 to 0.49), cesarean section (RR 0.73, 95% CI 0.63 to 0.85), postpartum hemorrhage (RR 0.45, 95% CI 0.28 to 0.72) were observed in the combination group. But the comparison between herbal medicine and medicine showed inconsistent results among trials. Insufficient information could be used to evaluate the safety of herbal medicine for ICP. CONCLUSION: This review found the current evidence may support the effectiveness of combination of herbal medicine and conventional medicine for decreasing the maternal pruritus scores, the serum TBA, and the number of fetal distress, or asphyxia neonatorum events related to this condition (which was supported by TSA results). Since there were obvious statistical and clinical heterogeneity among trials, and the methodological quality of the included studies was poor, the level of the evidence could only be defined as "very low" according to the GRADE criteria. Further high quality studies are still needed to testify the effectiveness and safety of herbal medicine for ICP.